Convergence Security Journal (융합보안논문지)

Korea convergence Security Association (한국융합보안학회)
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Renewable energy trends and relationship structure by SNS big data analysis

SNS 빅데이터 분석을 통한 재생에너지 동향 및 관계구조

  • 김종민 (동신대학교 정보보안학과 )
  • Received : 2022.02.07
  • Accepted : 2022.03.25
  • Published : 2022.03.31
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Abstract

This study is to analyze trends and relational structures in the energy sector related to renewable energy. For this reason, in this study, we focused on big data including SNS data. SNS utilizes the Instagram platform to collect renewable energy hash tags and use them as a word embedding method for big data analysis and social network analysis, and based on the results derived from this research, it will be used for the development of the renewable energy industry. It is expected that it can be utilized.

본 연구는 재생에너지와 관련된 에너지 분야의 동향과 관계구조를 분석하는 것이다. 이를 위해 본 연구에서는 SNS Data를 포한한 Big Data를 중점으로 분석하였다. SNS는 Instragram 플랫폼을 활용하여 재생에너지 해시태그들을 수집하였으며, 빅데이터 분석, 소셜네트워크 분석을 위한 워드임베딩 방법으로 사용하였고, 본 연구에서 도출된 결과를 토대로 재생에너지 산업의 발전에 활용할 수 있을 것으로 기대된다.

Keywords

Acknowledgement

본 과제(결과물) 2021년도 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 지자체-대학 협력기반 지역혁신 사업의 결과입니다.(1345341782)

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